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title: Arabic Restaurant Complaints Classifier
emoji: 🍽️
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.0.0
python_version: "3.11"
app_file: app.py
pinned: true
license: mit
short_description: Classify Arabic restaurant complaints into 8 categories
tags:
- arabic
- nlp
- classification
- bert
- saudi
- dialectal-arabic
models:
- CAMeL-Lab/bert-base-arabic-camelbert-mix
- UBC-NLP/MARBERT
- aubmindlab/bert-base-arabertv02
language:
- ar
---
# Arabic Restaurant Complaints Classifier
Classify Arabic restaurant complaints into 8 actionable categories. Saudi-Gulf dialect specialization.
## Performance
| Metric | Value |
|---|---:|
| Test accuracy | 95.05% |
| Test weighted F1 | 95.08% |
| Test macro F1 | 92.03% |
| Min class F1 (عامة) | 84.84% |
## Categories
| Arabic | English |
|---|---|
| التوصيل | Delivery |
| السعر والقيمة | Price / value |
| النظافة | Cleanliness |
| جودة الطعام | Food quality |
| خدمة الموظفين | Staff service |
| دقة الطلب | Order accuracy |
| عامة | General |
| وقت الانتظار | Wait time |
## Source
https://github.com/FerasMad/NLP-complaints-system
|